Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
T. Csar, M. Lackner, R. Pichler, E. Sallinger:
"Winner Determination in Huge Elections with MapReduce";
Vortrag: 10th Multidisciplinary Workshop on Advances in Preference Handling,
New York City, USA;
09.07.2016; in: "10th Multidisciplinary Workshop on Advances in Preference Handling",
M. Endres, N. Mattei, A. Pfandler (Hrg.);
(2016),
7 S.
Kurzfassung englisch:
In computational social choice, we are concerned with the development of methods for joint decision making. A central problem in this field is the winner determination problem, which aims at identifying the most preferred alternative(s). With the rise of modern e-business platforms, processing of huge amounts of preference data has become an issue. In this work, we apply the MapReduce framework - which has been specifically designed for dealing with big data - to various versions of the winner determination problem. Our main result are efficient and highly parallel algorithms together with a performance analysis for this problem.
Zugeordnete Projekte:
Projektleitung Reinhard Pichler:
Effiziente, parametrisierte Algorithmen in Künstlicher Intelligenz und logischem Schließen
Projektleitung Reinhard Pichler:
Heterogene Information Integration
Projektleitung Reinhard Pichler:
SEE: SPARQL Evaluation and Extensions
Projektleitung Stefan Woltran:
START
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.